ankit-mo-task2-sales-prediction.ipynb

{"cells":[{"source":"<a href=\"https://www.kaggle.com/code/ankitmourya8233/ankit-mo-task2-sales-prediction?scriptVersionId=136568882\" target=\"_blank\"><img align=\"left\" alt=\"Kaggle\" title=\"Open in Kaggle\" src=\"https://kaggle.com/static/images/open-in-kaggle.svg\"></a>","metadata":{},"cell_type":"markdown"},{"cell_type":"markdown","id":"845f561a","metadata":{"papermill":{"duration":0.005555,"end_time":"2023-07-12T15:40:21.822243","exception":false,"start_time":"2023-07-12T15:40:21.816688","status":"completed"},"tags":[]},"source":[]},{"cell_type":"code","execution_count":null,"id":"4cdf2ded","metadata":{"papermill":{"duration":0.004844,"end_time":"2023-07-12T15:40:21.832234","exception":false,"start_time":"2023-07-12T15:40:21.82739","status":"completed"},"tags":[]},"outputs":[],"source":[]},{"cell_type":"code","execution_count":null,"id":"3da36cb8","metadata":{"papermill":{"duration":0.004721,"end_time":"2023-07-12T15:40:21.841981","exception":false,"start_time":"2023-07-12T15:40:21.83726","status":"completed"},"tags":[]},"outputs":[],"source":[]},{"cell_type":"code","execution_count":null,"id":"8b55b3c2","metadata":{"papermill":{"duration":0.004741,"end_time":"2023-07-12T15:40:21.851944","exception":false,"start_time":"2023-07-12T15:40:21.847203","status":"completed"},"tags":[]},"outputs":[],"source":[]},{"cell_type":"markdown","id":"4a92bda4","metadata":{"papermill":{"duration":0.006001,"end_time":"2023-07-12T15:40:21.862934","exception":false,"start_time":"2023-07-12T15:40:21.856933","status":"completed"},"tags":[]},"source":[" **Task :- Sales Prediction**"]},{"cell_type":"code","execution_count":1,"id":"d8cae077","metadata":{"execution":{"iopub.execute_input":"2023-07-12T15:40:21.875536Z","iopub.status.busy":"2023-07-12T15:40:21.87478Z","iopub.status.idle":"2023-07-12T15:40:23.404192Z","shell.execute_reply":"2023-07-12T15:40:23.402481Z"},"papermill":{"duration":1.53868,"end_time":"2023-07-12T15:40:23.406724","exception":false,"start_time":"2023-07-12T15:40:21.868044","status":"completed"},"tags":[]},"outputs":[],"source":["#importing libraries\n","import pandas as pd\n","import numpy as np\n","import matplotlib.pyplot as plt\n","import seaborn as sns"]},{"cell_type":"code","execution_count":2,"id":"e65b7a1d","metadata":{"execution":{"iopub.execute_input":"2023-07-12T15:40:23.418972Z","iopub.status.busy":"2023-07-12T15:40:23.418553Z","iopub.status.idle":"2023-07-12T15:40:23.446792Z","shell.execute_reply":"2023-07-12T15:40:23.44581Z"},"papermill":{"duration":0.03716,"end_time":"2023-07-12T15:40:23.449322","exception":false,"start_time":"2023-07-12T15:40:23.412162","status":"completed"},"tags":[]},"outputs":[],"source":["#intializing Dataframe\n","df=pd.read_csv('/kaggle/input/advertisingcsv/Advertising.csv')"]},{"cell_type":"code","execution_count":3,"id":"09f8c108","metadata":{"execution":{"iopub.execute_input":"2023-07-12T15:40:23.461281Z","iopub.status.busy":"2023-07-12T15:40:23.460927Z","iopub.status.idle":"2023-07-12T15:40:23.495313Z","shell.execute_reply":"2023-07-12T15:40:23.493906Z"},"papermill":{"duration":0.043275,"end_time":"2023-07-12T15:40:23.497892","exception":false,"start_time":"2023-07-12T15:40:23.454617","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Unnamed: 0</th>\n","      <th>TV</th>\n","      <th>Radio</th>\n","      <th>Newspaper</th>\n","      <th>Sales</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>230.1</td>\n","      <td>37.8</td>\n","      <td>69.2</td>\n","      <td>22.1</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>44.5</td>\n","      <td>39.3</td>\n","      <td>45.1</td>\n","      <td>10.4</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>17.2</td>\n","      <td>45.9</td>\n","      <td>69.3</td>\n","      <td>9.3</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>151.5</td>\n","      <td>41.3</td>\n","      <td>58.5</td>\n","      <td>18.5</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>180.8</td>\n","      <td>10.8</td>\n","      <td>58.4</td>\n","      <td>12.9</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>195</th>\n","      <td>196</td>\n","      <td>38.2</td>\n","      <td>3.7</td>\n","      <td>13.8</td>\n","      <td>7.6</td>\n","    </tr>\n","    <tr>\n","      <th>196</th>\n","      <td>197</td>\n","      <td>94.2</td>\n","      <td>4.9</td>\n","      <td>8.1</td>\n","      <td>9.7</td>\n","    </tr>\n","    <tr>\n","      <th>197</th>\n","      <td>198</td>\n","      <td>177.0</td>\n","      <td>9.3</td>\n","      <td>6.4</td>\n","      <td>12.8</td>\n","    </tr>\n","    <tr>\n","      <th>198</th>\n","      <td>199</td>\n","      <td>283.6</td>\n","      <td>42.0</td>\n","      <td>66.2</td>\n","      <td>25.5</td>\n","    </tr>\n","    <tr>\n","      <th>199</th>\n","      <td>200</td>\n","      <td>232.1</td>\n","      <td>8.6</td>\n","      <td>8.7</td>\n","      <td>13.4</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>200 rows × 5 columns</p>\n","</div>"],"text/plain":["     Unnamed: 0     TV  Radio  Newspaper  Sales\n","0             1  230.1   37.8       69.2   22.1\n","1             2   44.5   39.3       45.1   10.4\n","2             3   17.2   45.9       69.3    9.3\n","3             4  151.5   41.3       58.5   18.5\n","4             5  180.8   10.8       58.4   12.9\n","..          ...    ...    ...        ...    ...\n","195         196   38.2    3.7       13.8    7.6\n","196         197   94.2    4.9        8.1    9.7\n","197         198  177.0    9.3        6.4   12.8\n","198         199  283.6   42.0       66.2   25.5\n","199         200  232.1    8.6        8.7   13.4\n","\n","[200 rows x 5 columns]"]},"execution_count":3,"metadata":{},"output_type":"execute_result"}],"source":["df"]},{"cell_type":"code","execution_count":4,"id":"3020e05a","metadata":{"execution":{"iopub.execute_input":"2023-07-12T15:40:23.511009Z","iopub.status.busy":"2023-07-12T15:40:23.510661Z","iopub.status.idle":"2023-07-12T15:40:23.517647Z","shell.execute_reply":"2023-07-12T15:40:23.516286Z"},"papermill":{"duration":0.016607,"end_time":"2023-07-12T15:40:23.520234","exception":false,"start_time":"2023-07-12T15:40:23.503627","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["(200, 5)"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["#finding number of rows\n","df.shape"]},{"cell_type":"code","execution_count":5,"id":"b2be636c","metadata":{"execution":{"iopub.execute_input":"2023-07-12T15:40:23.533864Z","iopub.status.busy":"2023-07-12T15:40:23.533454Z","iopub.status.idle":"2023-07-12T15:40:23.544566Z","shell.execute_reply":"2023-07-12T15:40:23.543607Z"},"papermill":{"duration":0.020561,"end_time":"2023-07-12T15:40:23.546646","exception":false,"start_time":"2023-07-12T15:40:23.526085","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["<bound method DataFrame.info of      Unnamed: 0     TV  Radio  Newspaper  Sales\n","0             1  230.1   37.8       69.2   22.1\n","1             2   44.5   39.3       45.1   10.4\n","2             3   17.2   45.9       69.3    9.3\n","3             4  151.5   41.3       58.5   18.5\n","4             5  180.8   10.8       58.4   12.9\n","..          ...    ...    ...        ...    ...\n","195         196   38.2    3.7       13.8    7.6\n","196         197   94.2    4.9        8.1    9.7\n","197         198  177.0    9.3        6.4   12.8\n","198         199  283.6   42.0       66.2   25.5\n","199         200  232.1    8.6        8.7   13.4\n","\n","[200 rows x 5 columns]>"]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["df.info"]},{"cell_type":"code","execution_count":6,"id":"17a9e035","metadata":{"execution":{"iopub.execute_input":"2023-07-12T15:40:23.560001Z","iopub.status.busy":"2023-07-12T15:40:23.559661Z","iopub.status.idle":"2023-07-12T15:40:23.567592Z","shell.execute_reply":"2023-07-12T15:40:23.565618Z"},"papermill":{"duration":0.01773,"end_time":"2023-07-12T15:40:23.570313","exception":false,"start_time":"2023-07-12T15:40:23.552583","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Index(['Unnamed: 0', 'TV', 'Radio', 'Newspaper', 'Sales'], dtype='object')"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["df.columns"]},{"cell_type":"code","execution_count":7,"id":"6aa5e974","metadata":{"execution":{"iopub.execute_input":"2023-07-12T15:40:23.584029Z","iopub.status.busy":"2023-07-12T15:40:23.583702Z","iopub.status.idle":"2023-07-12T15:40:23.597954Z","shell.execute_reply":"2023-07-12T15:40:23.596893Z"},"papermill":{"duration":0.023474,"end_time":"2023-07-12T15:40:23.599826","exception":false,"start_time":"2023-07-12T15:40:23.576352","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["df.duplicated().sum()"]},{"cell_type":"code","execution_count":8,"id":"a52ae0e7","metadata":{"execution":{"iopub.execute_input":"2023-07-12T15:40:23.613785Z","iopub.status.busy":"2023-07-12T15:40:23.613339Z","iopub.status.idle":"2023-07-12T15:40:23.804187Z","shell.execute_reply":"2023-07-12T15:40:23.803306Z"},"papermill":{"duration":0.200231,"end_time":"2023-07-12T15:40:23.806183","exception":false,"start_time":"2023-07-12T15:40:23.605952","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 400x400 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["#ScatterPlot for TV and Sales\n","plt.figure(figsize=(4,4))\n","sns.scatterplot(data=df,x=df['TV'],y=df['Sales'])\n","plt.show()"]},{"cell_type":"code","execution_count":9,"id":"59fbf99c","metadata":{"execution":{"iopub.execute_input":"2023-07-12T15:40:23.820447Z","iopub.status.busy":"2023-07-12T15:40:23.820049Z","iopub.status.idle":"2023-07-12T15:40:23.992637Z","shell.execute_reply":"2023-07-12T15:40:23.991133Z"},"papermill":{"duration":0.182604,"end_time":"2023-07-12T15:40:23.995171","exception":false,"start_time":"2023-07-12T15:40:23.812567","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 400x400 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["#scatterPlot for Radio and sales\n","plt.figure(figsize=(4,4))\n","sns.scatterplot(data=df,x=df['Radio'],y=df['Sales'])\n","plt.show()"]},{"cell_type":"code","execution_count":10,"id":"04645fc3","metadata":{"execution":{"iopub.execute_input":"2023-07-12T15:40:24.011144Z","iopub.status.busy":"2023-07-12T15:40:24.009937Z","iopub.status.idle":"2023-07-12T15:40:24.196959Z","shell.execute_reply":"2023-07-12T15:40:24.194852Z"},"papermill":{"duration":0.197086,"end_time":"2023-07-12T15:40:24.199218","exception":false,"start_time":"2023-07-12T15:40:24.002132","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 400x400 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.figure(figsize=(4,4))\n","sns.scatterplot(data=df,x=df['Newspaper'],y=df['Sales'])\n","plt.show()"]},{"cell_type":"code","execution_count":11,"id":"830d5c2d","metadata":{"execution":{"iopub.execute_input":"2023-07-12T15:40:24.216038Z","iopub.status.busy":"2023-07-12T15:40:24.215696Z","iopub.status.idle":"2023-07-12T15:40:24.222152Z","shell.execute_reply":"2023-07-12T15:40:24.220926Z"},"papermill":{"duration":0.01788,"end_time":"2023-07-12T15:40:24.224318","exception":false,"start_time":"2023-07-12T15:40:24.206438","status":"completed"},"tags":[]},"outputs":[],"source":["#splitting the datset into X,the attributes and y,the target variable\n","x=df.drop('Sales',axis=1)"]},{"cell_type":"code","execution_count":12,"id":"22829684","metadata":{"execution":{"iopub.execute_input":"2023-07-12T15:40:24.24068Z","iopub.status.busy":"2023-07-12T15:40:24.240273Z","iopub.status.idle":"2023-07-12T15:40:24.254723Z","shell.execute_reply":"2023-07-12T15:40:24.25381Z"},"papermill":{"duration":0.024659,"end_time":"2023-07-12T15:40:24.25654","exception":false,"start_time":"2023-07-12T15:40:24.231881","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Unnamed: 0</th>\n","      <th>TV</th>\n","      <th>Radio</th>\n","      <th>Newspaper</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>230.1</td>\n","      <td>37.8</td>\n","      <td>69.2</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>44.5</td>\n","      <td>39.3</td>\n","      <td>45.1</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>17.2</td>\n","      <td>45.9</td>\n","      <td>69.3</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>151.5</td>\n","      <td>41.3</td>\n","      <td>58.5</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>180.8</td>\n","      <td>10.8</td>\n","      <td>58.4</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>195</th>\n","      <td>196</td>\n","      <td>38.2</td>\n","      <td>3.7</td>\n","      <td>13.8</td>\n","    </tr>\n","    <tr>\n","      <th>196</th>\n","      <td>197</td>\n","      <td>94.2</td>\n","      <td>4.9</td>\n","      <td>8.1</td>\n","    </tr>\n","    <tr>\n","      <th>197</th>\n","      <td>198</td>\n","      <td>177.0</td>\n","      <td>9.3</td>\n","      <td>6.4</td>\n","    </tr>\n","    <tr>\n","      <th>198</th>\n","      <td>199</td>\n","      <td>283.6</td>\n","      <td>42.0</td>\n","      <td>66.2</td>\n","    </tr>\n","    <tr>\n","      <th>199</th>\n","      <td>200</td>\n","      <td>232.1</td>\n","      <td>8.6</td>\n","      <td>8.7</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>200 rows × 4 columns</p>\n","</div>"],"text/plain":["     Unnamed: 0     TV  Radio  Newspaper\n","0             1  230.1   37.8       69.2\n","1             2   44.5   39.3       45.1\n","2             3   17.2   45.9       69.3\n","3             4  151.5   41.3       58.5\n","4             5  180.8   10.8       58.4\n","..          ...    ...    ...        ...\n","195         196   38.2    3.7       13.8\n","196         197   94.2    4.9        8.1\n","197         198  177.0    9.3        6.4\n","198         199  283.6   42.0       66.2\n","199         200  232.1    8.6        8.7\n","\n","[200 rows x 4 columns]"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["x"]},{"cell_type":"code","execution_count":13,"id":"6a7e17d4","metadata":{"execution":{"iopub.execute_input":"2023-07-12T15:40:24.272936Z","iopub.status.busy":"2023-07-12T15:40:24.272234Z","iopub.status.idle":"2023-07-12T15:40:24.277564Z","shell.execute_reply":"2023-07-12T15:40:24.276005Z"},"papermill":{"duration":0.016089,"end_time":"2023-07-12T15:40:24.279662","exception":false,"start_time":"2023-07-12T15:40:24.263573","status":"completed"},"tags":[]},"outputs":[],"source":["y=df['Sales']"]},{"cell_type":"code","execution_count":14,"id":"c68205cf","metadata":{"execution":{"iopub.execute_input":"2023-07-12T15:40:24.295146Z","iopub.status.busy":"2023-07-12T15:40:24.294836Z","iopub.status.idle":"2023-07-12T15:40:24.303265Z","shell.execute_reply":"2023-07-12T15:40:24.302216Z"},"papermill":{"duration":0.018576,"end_time":"2023-07-12T15:40:24.305353","exception":false,"start_time":"2023-07-12T15:40:24.286777","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0      22.1\n","1      10.4\n","2       9.3\n","3      18.5\n","4      12.9\n","       ... \n","195     7.6\n","196     9.7\n","197    12.8\n","198    25.5\n","199    13.4\n","Name: Sales, Length: 200, dtype: float64"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["y"]},{"cell_type":"code","execution_count":15,"id":"64bb46b0","metadata":{"execution":{"iopub.execute_input":"2023-07-12T15:40:24.32195Z","iopub.status.busy":"2023-07-12T15:40:24.321582Z","iopub.status.idle":"2023-07-12T15:40:24.64256Z","shell.execute_reply":"2023-07-12T15:40:24.64158Z"},"papermill":{"duration":0.331946,"end_time":"2023-07-12T15:40:24.644891","exception":false,"start_time":"2023-07-12T15:40:24.312945","status":"completed"},"tags":[]},"outputs":[],"source":["from sklearn.model_selection import train_test_split\n","X_train, X_test, y_train,y_test = train_test_split(x,y,test_size = 0.20, random_state = 0)"]},{"cell_type":"code","execution_count":16,"id":"e720c30d","metadata":{"execution":{"iopub.execute_input":"2023-07-12T15:40:24.660957Z","iopub.status.busy":"2023-07-12T15:40:24.660567Z","iopub.status.idle":"2023-07-12T15:40:24.779463Z","shell.execute_reply":"2023-07-12T15:40:24.778728Z"},"papermill":{"duration":0.129603,"end_time":"2023-07-12T15:40:24.781749","exception":false,"start_time":"2023-07-12T15:40:24.652146","status":"completed"},"tags":[]},"outputs":[],"source":["from sklearn.linear_model import LinearRegression\n","model= LinearRegression()"]},{"cell_type":"code","execution_count":17,"id":"d2a1cd97","metadata":{"execution":{"iopub.execute_input":"2023-07-12T15:40:24.799554Z","iopub.status.busy":"2023-07-12T15:40:24.797265Z","iopub.status.idle":"2023-07-12T15:40:24.831591Z","shell.execute_reply":"2023-07-12T15:40:24.830302Z"},"papermill":{"duration":0.045471,"end_time":"2023-07-12T15:40:24.834537","exception":false,"start_time":"2023-07-12T15:40:24.789066","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LinearRegression()</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LinearRegression</label><div class=\"sk-toggleable__content\"><pre>LinearRegression()</pre></div></div></div></div></div>"],"text/plain":["LinearRegression()"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["#fitting the model to the dataset\n","model.fit(X_train,y_train)"]},{"cell_type":"code","execution_count":18,"id":"b151700f","metadata":{"execution":{"iopub.execute_input":"2023-07-12T15:40:24.851173Z","iopub.status.busy":"2023-07-12T15:40:24.850801Z","iopub.status.idle":"2023-07-12T15:40:24.857918Z","shell.execute_reply":"2023-07-12T15:40:24.856557Z"},"papermill":{"duration":0.018448,"end_time":"2023-07-12T15:40:24.860595","exception":false,"start_time":"2023-07-12T15:40:24.842147","status":"completed"},"tags":[]},"outputs":[],"source":["#predictions\n","y_predictions=model.predict(X_test)"]},{"cell_type":"code","execution_count":19,"id":"ef73ceb2","metadata":{"execution":{"iopub.execute_input":"2023-07-12T15:40:24.877349Z","iopub.status.busy":"2023-07-12T15:40:24.876955Z","iopub.status.idle":"2023-07-12T15:40:24.886118Z","shell.execute_reply":"2023-07-12T15:40:24.885047Z"},"papermill":{"duration":0.019951,"end_time":"2023-07-12T15:40:24.888083","exception":false,"start_time":"2023-07-12T15:40:24.868132","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["array([10.24664397,  7.3067958 ,  7.01313011, 24.0629912 , 11.84538583,\n","        6.3623126 , 12.97367539, 15.01392577, 10.95137181, 16.2302401 ,\n","       22.94764396,  9.07892877, 10.29830431, 15.372556  , 11.63358138,\n","       12.38729183, 18.91996453, 10.72601207, 16.03372676, 17.36589369,\n","       23.85225051,  9.51048184, 15.25366204, 12.2528663 ,  5.81346738,\n","       15.19998588, 12.12398331, 20.74762723, 13.36651757,  9.16548788,\n","       13.0430809 , 21.47977498, 18.01828076, 21.14170908,  6.74096317,\n","        5.9527019 ,  7.82515133, 13.21661502, 14.72150697,  6.18172688])"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["y_predictions"]},{"cell_type":"code","execution_count":20,"id":"bae898ed","metadata":{"execution":{"iopub.execute_input":"2023-07-12T15:40:24.904792Z","iopub.status.busy":"2023-07-12T15:40:24.904421Z","iopub.status.idle":"2023-07-12T15:40:24.912167Z","shell.execute_reply":"2023-07-12T15:40:24.910866Z"},"papermill":{"duration":0.018396,"end_time":"2023-07-12T15:40:24.914138","exception":false,"start_time":"2023-07-12T15:40:24.895742","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["MAE: 1.4158480868317487\n","RMSE: 2.125203007295874\n","R-Squared 0.8283777385812956\n"]}],"source":["# Lets evaluate the model for its accuracy using various metrics such as RMSE and R-Squared\n","from sklearn import metrics\n","\n","print('MAE:',metrics.mean_absolute_error(y_predictions,y_test))\n","print('RMSE:',np.sqrt(metrics.mean_squared_error(y_predictions,y_test)))\n","print('R-Squared',metrics.r2_score(y_predictions,y_test))"]},{"cell_type":"markdown","id":"8f7c0f78","metadata":{"papermill":{"duration":0.00726,"end_time":"2023-07-12T15:40:24.928859","exception":false,"start_time":"2023-07-12T15:40:24.921599","status":"completed"},"tags":[]},"source":["**Thank You**"]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.10.10"},"papermill":{"default_parameters":{},"duration":15.485229,"end_time":"2023-07-12T15:40:25.958612","environment_variables":{},"exception":null,"input_path":"__notebook__.ipynb","output_path":"__notebook__.ipynb","parameters":{},"start_time":"2023-07-12T15:40:10.473383","version":"2.4.0"}},"nbformat":4,"nbformat_minor":5}